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Jean-Bernard Maillet

Showing results (11-20 of 20) with videos related to

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The Journal of Chemical Physics|February 15, 2016
Characteristics of energy exchange between inter- and intramolecular degrees of freedom in crystalline 1,3,5-triamino-2,4,6-trinitrobenzene (TATB) with implications for coarse-grained simulations of shock waves in polyatomic molecular crystalsMatthew P Kroonblawd, Thomas D Sewell, Jean-Bernard Maillet
The Journal of Chemical Physics|October 9, 2025
Carbon-rich foam formation in the early stages of detonation of 1,3,5-triamino-2,4,6-trinitrobenzene (TATB)Xavier Bidault, Paul Lafourcade, Vincent Dubois, et al.
The Journal of Chemical Physics|January 17, 2016
New parallelizable schemes for integrating the Dissipative Particle Dynamics with Energy conservationAhmed-Amine Homman, Jean-Bernard Maillet, Julien Roussel, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 2, 2009
Constant entropy sampling and release waves of shock compressionsJean-Bernard Maillet, Emeric Bourasseau, Laurent Soulard, et al.
Physical Review Letters|January 7, 2003
Atomistic mechanism for hot spot initiationBrad Lee Holian, Timothy C Germann, Jean-Bernard Maillet, et al.
Journal of Chemical Theory and Computation|September 8, 2022
On Sampling Minimum Energy PathMouad Ramil, Caroline Boudier, Alexandra M Goryaeva, et al.
The Journal of Physical Chemistry. B|April 16, 2009
Thermodynamic behavior of the CO2 + NO2/N2O4 mixture: a Monte Carlo simulation studyEmeric Bourasseau, Veronique Lachet, Nicolas Desbiens, et al.
Nature Communications|September 18, 2020
Reinforcing materials modelling by encoding the structures of defects in crystalline solids into distortion scoresAlexandra M Goryaeva, Clovis Lapointe, Chendi Dai, et al.
Physical Chemistry Chemical Physics : PCCP|September 21, 2022
Capabilities and limits of autoencoders for extracting collective variables in atomistic materials scienceJacopo Baima, Alexandra M Goryaeva, Thomas D Swinburne, et al.
Journal of Chemical Theory and Computation|June 20, 2020
Machine Learning Force Fields and Coarse-Grained Variables in Molecular Dynamics: Application to Materials and Biological SystemsParaskevi Gkeka, Gabriel Stoltz, Amir Barati Farimani, et al.
Pageof 2

Showing results (11-20 of 20) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 20 results.
The Journal of Chemical Physics|February 15, 2016
Characteristics of energy exchange between inter- and intramolecular degrees of freedom in crystalline 1,3,5-triamino-2,4,6-trinitrobenzene (TATB) with implications for coarse-grained simulations of shock waves in polyatomic molecular crystalsMatthew P Kroonblawd, Thomas D Sewell, Jean-Bernard Maillet
The Journal of Chemical Physics|October 9, 2025
Carbon-rich foam formation in the early stages of detonation of 1,3,5-triamino-2,4,6-trinitrobenzene (TATB)Xavier Bidault, Paul Lafourcade, Vincent Dubois, et al.
The Journal of Chemical Physics|January 17, 2016
New parallelizable schemes for integrating the Dissipative Particle Dynamics with Energy conservationAhmed-Amine Homman, Jean-Bernard Maillet, Julien Roussel, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 2, 2009
Constant entropy sampling and release waves of shock compressionsJean-Bernard Maillet, Emeric Bourasseau, Laurent Soulard, et al.
Physical Review Letters|January 7, 2003
Atomistic mechanism for hot spot initiationBrad Lee Holian, Timothy C Germann, Jean-Bernard Maillet, et al.
Journal of Chemical Theory and Computation|September 8, 2022
On Sampling Minimum Energy PathMouad Ramil, Caroline Boudier, Alexandra M Goryaeva, et al.
The Journal of Physical Chemistry. B|April 16, 2009
Thermodynamic behavior of the CO2 + NO2/N2O4 mixture: a Monte Carlo simulation studyEmeric Bourasseau, Veronique Lachet, Nicolas Desbiens, et al.
Nature Communications|September 18, 2020
Reinforcing materials modelling by encoding the structures of defects in crystalline solids into distortion scoresAlexandra M Goryaeva, Clovis Lapointe, Chendi Dai, et al.
Physical Chemistry Chemical Physics : PCCP|September 21, 2022
Capabilities and limits of autoencoders for extracting collective variables in atomistic materials scienceJacopo Baima, Alexandra M Goryaeva, Thomas D Swinburne, et al.
Journal of Chemical Theory and Computation|June 20, 2020
Machine Learning Force Fields and Coarse-Grained Variables in Molecular Dynamics: Application to Materials and Biological SystemsParaskevi Gkeka, Gabriel Stoltz, Amir Barati Farimani, et al.
Pageof 2